Hybrid Senior Marketing Data Analyst Senior Marketing Data Analyst with verification
Tala · Mexico · Hybrid
Hybrid Consultores/Consultoras Funcionales Junior Consultores/Consultoras Funcionales Junior
myGwork - LGBTQ+ Business Community · Mexico · Hybrid
Hybrid Consultores/as Junior Técnicos Consultores/as Junior Técnicos with verification
Oracle · Mexico · Hybrid
Hybrid Senior Sales Strategy Analyst Senior Sales Strategy Analyst with verification
Zendesk · Mexico · Hybrid
Hybrid Product Marketing Manager Junior Product Marketing Manager Junior
EasyBroker · Mexico · Hybrid
Hybrid Ingeniero de Pruebas Ingeniero de Pruebas with verification
SEGULA Technologies · Mexico · Hybrid
Hybrid WFA & Lifecycle Specialist WFA & Lifecycle Specialist with verification
GE Aerospace · Mexico · Hybrid
Hybrid Marketing Analytics Manager Marketing Analytics Manager with verification
ClassPass · Mexico · Hybrid
Hybrid Recepcionista En Home Office Recepcionista En Home Office
Asesoría Directiva · Mexico · Hybrid
Hybrid Data Management Assistant REMOTE Data Management Assistant REMOTE
Gordian Staffing · Mexico · Hybrid
Hybrid Financial Systems Analyst Financial Systems Analyst with verification
SailPoint · Mexico · Hybrid
Hybrid Senior Data Analyst Senior Data Analyst with verification
Docker, Inc · Mexico · Hybrid
About the job
We are looking for an experienced and results-driven Senior Data Analyst to join our Product - Data & Growth team. In this role, you will play a critical part in shaping Docker’s data strategy by leading the design, development, and optimization of data models, reports, and dashboards that support strategic business goals. You will collaborate with cross-functional teams to drive data-driven decision-making across the organization and mentor junior analysts to foster a culture of continuous learning.
This role is perfect for someone with advanced data analysis expertise, a passion for solving complex problems, and a track record of delivering impactful insights. The level of responsibility and scope will be tailored based on your experience and strengths, making it an ideal opportunity for professionals looking to advance their careers in data.
Key Responsibilities:
- Data Strategy & Execution: Lead data initiatives by designing, developing, and optimizing data models and reporting structures that support the organization’s strategic objectives.
- Data Analysis & Transformation: Conduct advanced data analysis, leveraging tools like Snowflake, DBT, and SQL to ensure accuracy, consistency, and actionable insights across various data sources.
- Data Modeling: Develop and maintain scalable, robust data models that enable both real-time and ad-hoc analysis, driving key business decisions.
- Reporting & Dashboards: Create, manage, and optimize dashboards and reports using Looker, providing stakeholders with clear, actionable insights.
- Collaboration: Partner closely with business teams, data engineers, and leadership to understand and meet data needs, aligning data initiatives with broader business goals.
- Mentorship & Team Development: Provide mentorship to other analysts, fostering professional growth and encouraging best practices across the team.
- Data Governance & Quality: Drive data quality initiatives, identifying and resolving inconsistencies while defining best practices for data governance.
- Continuous Improvement: Continuously refine and enhance data models, reporting pipelines, and processes to support evolving business needs and ensure scalability.
- Experience: 5+ years of experience in data analysis, business intelligence, or a related field, with a proven ability to deliver impactful data solutions in fast-paced environments.
- Technical Expertise: Advanced proficiency in SQL and strong experience with data warehousing and ETL/ELT processes. Familiarity with Snowflake, DBT, and Looker is highly desirable.
- Analytical & Problem-Solving Skills: Strong analytical thinking with the ability to interpret data, identify trends, and generate actionable insights to inform business decisions.
- Communication: Exceptional communication skills, with the ability to distill complex technical concepts for both technical and non-technical audiences.
- Leadership & Mentorship: Experience mentoring junior team members and contributing to team development. Ability to influence and lead cross-functional teams in data-driven initiatives.
- Education: Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, or Mathematics.
- Attention to Detail: A meticulous approach to data, ensuring accuracy and reliability in all deliverables, while maintaining a high standard of data quality.
- Understand Docker’s Data Landscape: Deep dive into Docker’s data systems, processes, and business objectives to build a strong foundation for future contributions.
- Collaborate with Teams: Engage with cross-functional teams to gain insight into ongoing data initiatives and identify how you can contribute.
- Start Contributing: Begin taking ownership of smaller data analysis tasks, providing insights, and shaping solutions that align with business needs.
- Lead Key Projects: Take full ownership of critical data analysis projects, ensuring they are aligned with strategic business goals and delivered on time.
- Collaborate Across Teams: Work closely with stakeholders to understand their data needs and deliver insights that directly impact business outcomes.
- Partner with Data Engineers: Collaborate with data engineers to ensure the scalability, reliability, and optimization of data pipelines and models.
- Execute and Deliver: Focus on delivering data solutions that meet timelines, driving execution, and continuously identifying areas for improvement in processes and systems.
- Mentor and Support: Provide mentorship to other data analysts, offering guidance and support in executing data projects while fostering a collaborative team environment
- Drive Large-Scale Initiatives: Lead and deliver large-scale data initiatives that meet business objectives and drive meaningful outcomes.
- Optimize and Evolve: Continuously optimize data models, dashboards, and reporting structures to support evolving business needs.
- Become a Key Contributor: Establish yourself as a strategic leader within Docker’s data team, driving data-driven decision-making and scaling processes to ensure long-term success.
Please see the independent bias audit report covering our use of Covey here.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.
Please see the independent bias audit report covering our use of Covey here.
Perks (for Full Time Employees)
- Freedom & flexibility; fit your work around your life
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend equivalent to $100 net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Quarterly, company-wide hackathons
- Training stipend for conferences, courses and classes
- Equity; we are a growing start-up and want all employees to have a share in the success of the company
- Docker Swag
- Medical benefits, retirement and holidays vary by country
Due to the remote nature of this role, we are unable to provide visa sponsorship.